samsung SCG35
Geekbench AI Score
1245
Single Precision Score
1710
Half Precision Score
1278
Quantized Score
Geekbench AI 1.4.0 for Android AArch64
Result Information
| User | ___ |
| Upload Date | July 11 2025 04:01 AM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 16 |
| Model | samsung SCG35 |
| Model ID | samsung SCG35 |
| Motherboard | s5e9955 |
| Governor | energy_aware |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 10 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 0 part 3461 revision 1 |
| Base Frequency | 1.80 GHz |
| Cluster 1 | 2 Cores @ 1.80 GHz |
| Cluster 2 | 5 Cores @ 2.36 GHz |
| Cluster 3 | 2 Cores @ 2.75 GHz |
| Cluster 4 | 1 Core @ 3.30 GHz |
| Memory Information | |
|---|---|
| Size | 10.95 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
477
88.7 IPS |
|
|
Image Classification (HP)
|
100% |
556
103.3 IPS |
|
|
Image Classification (Q)
|
100% |
531
98.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
1898
30.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
2906
47.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
2445
39.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
8790
10.3 IPS |
|
|
Pose Estimation (HP)
|
99% |
16041
18.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
14996
17.6 IPS |
|
|
Object Detection (SP)
|
100% |
679
53.9 IPS |
|
|
Object Detection (HP)
|
99% |
680
53.9 IPS |
|
|
Object Detection (Q)
|
84% |
680
54.8 IPS |
|
|
Face Detection (SP)
|
100% |
3254
38.7 IPS |
|
|
Face Detection (HP)
|
100% |
3715
44.1 IPS |
|
|
Face Detection (Q)
|
97% |
3638
43.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
4678
36.0 IPS |
|
|
Depth Estimation (HP)
|
98% |
7163
55.4 IPS |
|
|
Depth Estimation (Q)
|
62% |
5549
53.5 IPS |
|
|
Style Transfer (SP)
|
100% |
17747
22.8 IPS |
|
|
Style Transfer (HP)
|
100% |
27452
35.3 IPS |
|
|
Style Transfer (Q)
|
98% |
26766
34.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1721
63.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1884
69.5 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1830
67.8 IPS |
|
|
Text Classification (SP)
|
29% |
9
149.0 IPS |
|
|
Text Classification (HP)
|
35% |
21
188.0 IPS |
|
|
Text Classification (Q)
|
30% |
10
167.0 IPS |
|
|
Machine Translation (SP)
|
100% |
398
6.86 IPS |
|
|
Machine Translation (HP)
|
100% |
420
7.24 IPS |
|
|
Machine Translation (Q)
|
42% |
89
5.76 IPS |
